FIS is seeking a highly technical Senior AI Engineer to lead the development of the next-generation banking customer experience by building real-time, conversational Agentic AI voice systems from the ground up. The role requires a strong curiosity to learn, deconstruct, and implement emerging AI architectures, translating bleeding-edge concepts into production-grade banking solutions.

Responsibilities include architecting and delivering enterprise-scale Agentic voice AI systems that combine deterministic workflow control, LLM-driven reasoning, tool orchestration, memory management, and secure API integration across regulated banking use cases. You will build production-grade Agentic AI solutions that integrate speech-to-text, text-to-speech, LLMs, cognitive services, and backend enterprise systems to enable natural, reliable, real-time customer interactions. You will design agentic workflows enabling AI systems to complete complex, multi-step tasks using structured planning, function calling, tool routing, state management, and human-in-the-loop escalation where appropriate.

Other key activities: optimize real-time voice interactions for low latency and scalability; deploy cloud-native AI services across Azure and AWS (Kubernetes, containers, serverless, multi-region resilience, secure DevOps); build evaluation, experimentation, and observability frameworks to measure conversational quality, routing accuracy, latency, containment, hallucination risk, tool-call reliability, and production performance; implement security, privacy, Responsible AI, and compliance guardrails t

FIS is seeking a highly technical Senior AI Engineer to lead the development of the next-generation banking customer experience by building real-time, conversational Agentic AI voice systems from the ground up. The role requires a strong curiosity to learn, deconstruct, and implement emerging AI architectures, translating bleeding-edge concepts into production-grade banking solutions.

Responsibilities include architecting and delivering enterprise-scale Agentic voice AI systems that combine deterministic workflow control, LLM-driven reasoning, tool orchestration, memory management, and secure API integration across regulated banking use cases. You will build production-grade Agentic AI solutions that integrate speech-to-text, text-to-speech, LLMs, cognitive services, and backend enterprise systems to enable natural, reliable, real-time customer interactions. You will design agentic workflows enabling AI systems to complete complex, multi-step tasks using structured planning, function calling, tool routing, state management, and human-in-the-loop escalation where appropriate.

Other key activities: optimize real-time voice interactions for low latency and scalability; deploy cloud-native AI services across Azure and AWS (Kubernetes, containers, serverless, multi-region resilience, secure DevOps); build evaluation, experimentation, and observability frameworks to measure conversational quality, routing accuracy, latency, containment, hallucination risk, tool-call reliability, and production performance; implement security, privacy, Responsible AI, and compliance guardrails t